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Data Science Manager – Experimentation: Innovation & Research United Kingdom

Job in London, Greater London, W1B, England, UK
Listing for: PlayStation
Full Time position
Listed on 2026-02-17
Job specializations:
  • IT/Tech
    Data Science Manager, Data Scientist, AI Engineer, Data Analyst
Job Description & How to Apply Below
Data Science Manager – Experimentation:
Innovation & Research

United Kingdom, London

Why Play Station?

Play Station isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The Play Station family of products and services including PlayStation5, PlayStation4, PlayStation

VR, Play Station Plus , acclaimed Play Station software titles from Play Station Studios, and more.

Play Station also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.

The Play Station brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.

As a Data Science Manager, you will lead both people and innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation s is a hands-on leadership role blending technical depth with managerial responsibilities. You will drive cutting-edge research in experimentation methodologies while mentoring and guiding a team of data scientists. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions.

What You’ll Be Doing:

  • Lead a team of data scientists focused on experimentation and causal inference; provide technical direction, career development, and mentorship.
  • Drive innovation in experimentation research by developing and overseeing new methodologies and frameworks that improve the quality, speed, and scalability of experiments.
  • Guide the advancement of experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analysis capabilities.
  • Partner with product managers, game studios, and business leaders to identify high-impact experimentation opportunities and ensure alignment with Play Station’s strategic goals.
  • Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
  • Contribute directly to research and prototyping of novel experimentation techniques that address complex real-world constraints, such as user behavior variability and data limitations.
  • Champion the growth of a data-driven culture by advocating for experimentation standards, ethical practices, and reproducibility.
  • Represent the team’s insights, innovations, and impact across the broader data science and product communities within Play Station.
  • Stay abreast of emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve our capabilities.

What We’re Looking For:

  • Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
  • Strong familiarity with the gaming industry and contemporary gaming experiences.
  • 6+ years of experience in data science, including hands-on work in experimentation, with at least 2+ years in a formal people management or technical leadership role.
  • Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.
  • Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.
  • Expertise in causal inference techniques and designing both randomized and quasi-experiments.
  • Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.
  • Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.
  • Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, Micro Strategy).
  • A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation.

Equal Opportunity Statement:

Sony is an Equal Opportunity…

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